code: def export_mod_mixed_sign_float32() -> None:
      node = onnx.helper.make_node(
          "Mod", inputs=["x", "y"], outputs=["z"], fmod=1
      )
  
      x = np.array([-4.3, 7.2, 5.0, 4.3, -7.2, 8.0]).astype(np.float32)
      y = np.array([2.1, -3.4, 8.0, -2.1, 3.4, 5.0]).astype(np.float32)
      z = np.fmod(
          x, y
      )  # expected output [-0.10000038, 0.39999962, 5. , 0.10000038, -0.39999962, 3.]
      expect(
          node,
          inputs=[x, y],
          outputs=[z],
          name="test_mod_mixed_sign_float32",
      )
  
file_path: onnx/onnx/backend/test/case/node/mod.py
imports: import numpy
  import onnx
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.node import expect
label_desc: Use image node_id 2 for calling the Mod obj's underlying member method code with example usage: obj.export_mod_mixed_sign_float32() without return types